where \(a=-1\) , \(b=1\) , and \(c=0\)  fulfill the condition to minimize Pearson \(\chi ^{2}\)  divergence [1]}. Also, \(\tilde{\textbf {x}}^r\)  are conditioning samples unaligned with \(\textbf {x}\) , thus creating a fake signal that captures that any misalignment between \(\textbf {x}\)  and \(\tilde{\textbf {x}}\)  is a mistake [2]}.
